Lead ML Engineer

Meraki Labs • Python • 5 days ago
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Salary
≈ $35k – $85k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 5+ years exp
Overview
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Meraki Labs

Meraki Labs is a venture studio based in Bengaluru, India, founded in 2023 by industry veterans Mukesh Bansal and Peeyush Ranjan. The organization functions as both an incubator and a catalyst, offering hands-on operational support, strategic mentorship, and pre-seed or seed-stage investment to early-stage startups. It focuses on developing high-impact companies across various sectors, utilizing a venture studio model to guide founders from initial concept through prototype development and market entry.
merakilabs.com • HQ: Bengaluru, India • Software • Professional Services • Financial Services • Business Development • Venture Capital • Est. 2023

Requirements:

  • 5+ years of hands-on experience in Machine Learning / Artificial Intelligence.
  • Strong proficiency in Python and experience with ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar.
  • Strong understanding of Machine Learning algorithms, statistics, model evaluation, and optimisation.
  • Experience building and deploying production-grade ML models and pipelines.
  • Experience with Generative AI / LLMs is highly preferred.
  • Knowledge of NLP, Deep Learning, RAG, embeddings, vector databases, or AI agents is a strong plus.
  • Experience with MLOps, model deployment, monitoring, CI/CD, Docker, Kubernetes, or cloud platforms such as AWS/GCP/Azure.
  • Strong understanding of software engineering principles, system design, and scalable architecture.
  • Excellent problem-solving, communication, and leadership skills.

Good to Have:

  • Experience working with LLM-based applications and Agentic AI.
  • Hands-on experience with LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar frameworks.
  • Experience with vector databases such as Pinecone, FAISS, Milvus, or Weaviate.
  • Experience with cloud-based ML platforms and distributed ML systems.
  • Previous experience leading ML projects or mentoring engineers.
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